Yost, Kathleen J.

e21605 Background: Several studies have demonstrated patients have a poor understanding of prognosis, survival and effectiveness of chemotherapy, particularly in the setting of advanced cancer. This study examines oncology patients’ understanding of their illness based on accurate reporting of stage at diagnosis as well as knowledge of remission status. Methods: 208 cancer patients previously treated at our large community based cancer institute participated in The Consumer-Based Cancer Care Value Index (CCCVI) Field Survey. Electronic medical record (EMR) documentation of stage at diagnosis and remission status were compared to patients’ self-reported responses. Concordance of responses and variables influencing discordance were evaluated. Results: 51.0% of patients’ self-reported cancer stage matched the abstracted stage with the highest concordance in the advanced cancer patients (72%) versus stage I-III patients (36.4%-61.5%). Unexpectedly, discordance was lower among advanced cancer patients as compared to stage I-III patients (p = 0.0528) Those who were concordant for cancer stage at diagnosis were significantly more likely to be female (p = 0.001), under the age of 65 (p = 0.01), have an income greater than $60,000 (p = 0.03), and have more education (p = 0.02). 64.4% of patients’ self-reported remission status matched the abstracted status. Nearly 30% of patients were not sure about their status even when they were in remission. Conclusions: Our findings confirm that more than one quarter of patients with advanced cancer have poor illness understanding, as well as highlights that an even greater number of patients with early stage I-III cancers have poor illness understanding. These observations highlight the need to improve illness understanding for patients across the entire cancer continuum.

Abstract BACKGROUND The diagnosis of vestibular schwannomas (VS) is associated with reduced patient quality of life (QOL). Minimal clinically important difference (MCID) was introduced as the lowest improvement in a patient-reported outcome (PRO) score discerned as significant by the patient. We formerly presented an MCID for the Penn Acoustic Neuroma QOL (PANQOL) battery based on cross-sectional data from 2 tertiary referral centers. OBJECTIVE To validate the PANQOL MCID values using prospective data. METHODS A prospective registry capturing QOL was queried, comprising patients treated at the authors’ institution and Acoustic Neuroma Association members. Anchor- and distribution-based techniques were utilized to determine the MCID for domain and total scores. We only included anchors with Spearman's correlation coefficient larger than 0.3 in the MCID threshold calculations. Most domains had multiple anchors with which to estimate the MCID. RESULTS A total of 1254 patients (mean age: 57.4 yr, 65% females) were analyzed. Anchor-based methods produced a span of MCID values (median, 25th-75th percentile) for each PANQOL domain and the total score: hearing (13.1, 13-16 points), balance (14, 14-19 points), pain (21, 20-28 points), face (25, 16-36 points), energy (16, 15-18 points), anxiety (16 [1 estimate]), general (13 [1 estimate]), and total (12.5, 10-15 points). CONCLUSION Current findings corroborate our formerly shared experience using multi-institutional, cross-sectional information. These MCID thresholds can serve as a pertinent outcome when deciphering the clinical magnitude of VS QOL endpoints in cross-sectional and longitudinal studies.

Objective: The aim of this study was to conduct a prospective, multicenter survey of patients regarding postoperative opioid use to inform development of standardized, evidence-based, procedure-specific opioid prescribing guidelines. Summary of Background Data: Previous work has shown significant variation in the amount of opioids prescribed after elective procedures, calling for optimization of prescribing. Methods: Adults (n = 3412) undergoing 25 elective procedures were identified prospectively from 3 academic centers (March 2017 to January 2018) to complete a 29-question telephone interview survey 21 to 35 days post-discharge (n = 688 not contacted, n = 107 refused). Discharge opioids were converted into Morphine Milligram Equivalents (MMEs). Results: Of the 2486 patients who completed the survey, 91.2% received opioids at discharge [median 225 (interquartile range, IQR 125 to 381) MME]. A median of 43 (0 to 184) MMEs were consumed after discharge with 77.3% of patients having leftover opioids at the time of the survey. In total, 61.5% of prescribed opioids were unused; 31.4% of patients used no opioids, and 52.6% required <50 MME. Overall, 90.6% of patients were satisfied with their postdischarge pain control. While 28.3% reported being prescribed too many opioids, 9.0% felt they were not prescribed enough. Only 9.6% of patients disposed of remaining opioids. Of the 2068 opioid-naive respondents (83.2%), 33.6% consumed no opioids (range 5.2% to 80.0% by procedure) and 57.0% (65.7% nonorthopedic) consumed <50 MME. Utilization data and predictors of low/high opioid consumption informed development of postoperative prescribing guidelines. Conclusion: A large proportion of postoperative patients reported using no or few opioids following discharge. Guidelines were developed to minimize opioid prescribing and identify patients requiring low doses or additional multimodal pain control.

AbstractOur aim was to evaluate whether quality of life (QOL) scores at diagnosis predict survival among patients with aggressive lymphoma. Newly diagnosed lymphoma patients were prospectively enrolled within 9 months of diagnosis in the University of Iowa/Mayo Clinic SPORE and systematically followed for event‐free and overall survival (OS). QOL was measured with the Functional Assessment of Cancer Treatment‐General (FACT‐G), which measures 4 domains: physical, social/family, emotional, and functional well‐being (WB); a single item Linear Analogue Self‐Assessment (LASA) measuring overall QOL; and a spiritual WB LASA. From 9/2002 to 12/2009, 701 patients with aggressive lymphoma who completed baseline QOL questionnaires were enrolled. At a median follow‐up of 71 months (range 6‐128), 316 patients (45%) had an event and 228 patients (33%) died. All baseline QOL measures but emotional WB were significantly associated with OS (all P < 0.04); of which all but LASA spiritual remained significant after adjusting for IPI and NHL subtype. The strongest associations were with total FACT‐G (adjusted HR = 0.86, 95% CI: 0.79‐0.94, P = 0.00062) and functional WB (adjusted HR = 0.88, 95% CI: 0.83‐0.93, P < .0001). QOL LASA was associated with OS (adjusted HR = 0.92, 95% CI: 0.87‐0.97, P = 0.0041). Patients with clinically deficient QOL (overall QOL ≤50) had a median OS of 92 months compared with 121 months for patients with QOL >50 (P = 0.0004). In this large sample of patients with aggressive lymphoma, we found that baseline QOL is independently predictive of OS. QOL should be assessed as a prognostic factor in patients with aggressive lymphoma.

174 Background: Patient-reported outcomes (PROs), including physical function and quality of life (QOL), are important outcomes in cancer patients. Emoji are a near-universal, popular form of communication, understandable by diverse populations, including those with low health literacy. We aimed to explore whether emoji could be a valid, reliable scale for assessing PROs in cancer patients. Methods: To develop the emoji scale, 5 emoji faces were selected from the Apple emoji dictionary by study authors. 20 cancer patients participated in a card-sorting exercise to rank the emoji from negative to positive; 19 out of 20 selected the same order, which exceeded Coomb’s criteria for being a valid ordinal scale. Patients were recruited from Mayo Clinic practices. Eligibility included: adult patients with a diagnosis of lymphoma, multiple myeloma, brain, pancreatic, breast, and ovarian cancer within the past 5 years; life expectancy of > 6 months; and own an iPhone version ≥ 5.0. All patients were provided with an Apple Watch and downloaded the study app. Baseline PRO data was collected on the iPhone, including single-item linear analog self-assessments (LASA) and emoji scales for fatigue, physical function, emotional well-being, and overall QOL. Results: From 2/2017-8/2017, 294 eligible patients were recruited. 25% were male, and median age was 53 years (range 20-79). The median time since diagnosis was 8.4 months (range 0-60); 63% were on active therapy, 27% were in observation post-treatment, and 10% had not been treated. All patients were “extremely” confident filling out forms, 99% had used a computer in the past 12 months, and 27% had ever used a smart watch. Emoji responses were significantly associated with validated measures of PROs; the Spearman correlations between the ordinal emoji scales and LASAs were -0.83 for fatigue, 0.72 for physical well-being, 0.72 for emotional well-being, and 0.77 for overall QOL (all p < 0.0001). Of the 75 patients who have completed the study thus far, 92% reported they would use emoji scales again and 89% would recommend that others use emoji scales. Conclusions: A novel ordinal emoji scale is strongly associated with accepted measures of PROs in cancer patients and should be studied further.